🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a high shell risk due to the use of potentially unsafe methods for executing commands, which could lead to arbitrary command execution. Despite this, other risks are relatively low.

High shell risk due to unsafe command execution
Low risk in other categories including network, obfuscation, and credential handling

Per-check LLM notes

Network: The network calls could be legitimate if the package is designed to fetch data from external sources.
Shell: Executing commands via shell=True poses a significant risk and may indicate potential for arbitrary command execution.
Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
Metadata: The maintainer has a new or inactive account and lacks PyPI classifiers, suggesting low effort or poor metadata quality.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

pudl_request_content = requests.get(url, stream=True).content print("Extracting pudl.sq
=1" ) data = requests.get(url, stream=True).content with open( fi

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

), ), shell=True, ) if __name__ == "__main__": main() # Copyr

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gridpath.io

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository blue-marble/gridpath appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Blue Marble Analytics LLC" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with GridPath

Create a Python-based mini-application called 'PowerPlanner' using the GridPath package. This application aims to help users visualize and optimize their local power grid system by simulating various operational scenarios and suggesting improvements. Here’s a detailed plan on how to proceed:

1. **Introduction to PowerPlanner**: Explain the purpose of the application - to simulate and optimize power grids based on user-defined parameters.
2. **Setup Environment**: Guide the user through setting up a Python environment with necessary packages including GridPath.
3. **User Input Interface**: Develop a simple command-line interface where users can input details about their grid such as number of nodes, types of loads, renewable energy sources, etc.
4. **Simulation Module**: Use GridPath to simulate different operational conditions like peak demand hours, varying renewable energy inputs, etc.
5. **Optimization Engine**: Implement an optimization feature using GridPath's capabilities to suggest improvements such as adding new lines, adjusting generator outputs, or integrating more renewable energy sources.
6. **Visualization Tool**: Integrate visualization tools to display the simulated grid status and optimization outcomes graphically.
7. **Reporting Feature**: Provide a feature to generate reports summarizing the simulation results and optimization suggestions.
8. **Testing and Documentation**: Ensure thorough testing of all features and provide comprehensive documentation explaining how to use PowerPlanner effectively.

Suggested Features:
- Interactive user input validation.
- Real-time updates during simulations.
- Comparative analysis between different scenarios.
- User-friendly graphical output for easy interpretation.
- Detailed step-by-step guidance within the application.

GridPath Utilization:
- Utilize GridPath's simulation functions to model the power grid under different conditions.
- Leverage GridPath's optimization algorithms to propose cost-effective enhancements to the grid.
- Employ GridPath's visualization utilities to create insightful graphical representations of the grid.
- Use GridPath's data handling capabilities to manage large datasets efficiently.